Instructions to use huggingkot/Qwen2.5-Coder-3B-Instruct-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use huggingkot/Qwen2.5-Coder-3B-Instruct-q4f16_1-MLC with MLC-LLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b01ccd48248a9e9d63b028757c6bb6f062d02376f10d53db55dfa12a6dd4e36
- Size of remote file:
- 165 kB
- SHA256:
- 32c631a8ae789cb7e3ed5ecb3f2d9af5cdbd0a7fce670d22864e043ffd52743e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.